The research team, led by Songyuan Yao, Rui Liu and Xiju He, took advantage of a natural experiment already unfolding at their institution. Forty first-year medical students, none of whom had prior cadaver-dissection experience, were taught anatomy in two intact classes of twenty students each. One class received pure virtual reality instruction; the other followed a traditional cadaver-based curriculum. Rather than designing a bespoke laboratory study, the researchers integrated data from three routine educational-assessment modules already collected at the medical school, then designated the comparative analysis framework after the fact. That design choice matters for interpretation: because students were assigned by class rather than individually randomized, the study is exploratory and noncausal, a caveat the authors state plainly.

What makes the study unusual is its insistence on measuring performance beyond simple recognition. Most evaluations of virtual reality anatomy teaching stop at multiple-choice quizzes taken minutes after the lesson, a format that flatters digital tools because standardized images on a screen resemble the standardized renderings inside a headset. The Chinese team instead tracked three harder outcomes: the peak force students applied during a standardized task on cadaveric tissue, their diagnostic accuracy on noncanonical computed tomography and magnetic resonance imaging cases that deviated from textbook appearances, and the trajectory of their knowledge scores from thirty minutes to four weeks after instruction.

The haptic gap was the most striking. When students who had learned in virtual reality first touched real cadaveric tissue, they pressed with an average peak force of 8.74 newtons, compared with 4.52 newtons among cadaver-trained classmates. That mean difference of 4.22 newtons carried a 95 percent confidence interval of 2.92 to 5.52 and an effect size of Cohen’s d equal to 2.09, an extraordinarily large value by any educational or psychological standard. In practical terms, students who had never felt the resistance of skin, fascia and muscle handled real tissue nearly twice as forcefully as those who had, suggesting that the absence of realistic touch feedback in the virtual environment left a measurable imprint on motor behavior the moment students encountered the physical world.

Not every comparison favored the cadaver group, however. On a standardized model recognition task, the two groups were statistically indistinguishable: the virtual reality condition averaged 0.91 against 0.87 for the cadaver group, a difference that fell short of significance at p equal to 0.082. Immediate knowledge scores were likewise compatible with no difference between the teaching formats. In other words, for the kind of clean, canonical recognition questions that dominate conventional anatomy exams, a headset did the job just as well as a dissection table. The virtual classroom appears to be a perfectly adequate place to learn the map of the body; the trouble emerges when students must navigate terrain the map never depicted.

That trouble surfaced in two places. First, on noncanonical radiological cases, where anatomy appears in unfamiliar orientations or distorted by pathology, the virtual reality group’s accuracy dropped to 0.52 while the cadaver group achieved 0.71. The mean difference of 0.19, with a 95 percent confidence interval spanning 0.27 down to 0.11, indicates a robust deficit in what cognitive scientists call transfer: the ability to apply knowledge in forms that differ from how it was originally learned. The authors attribute this to what they describe as the representational variability of physical anatomy learning. A cadaver is irreducibly messy, with vessels and nerves varying from body to body, and that messiness forces students to build flexible mental representations. A polished three-dimensional model, by contrast, presents a single idealized anatomy that students may encode rigidly.

The second deficit emerged over time. Thirty minutes after instruction, both groups recalled the material equally well. But at the four-week mark, the virtual reality group’s mean score had fallen to 11.75 while the cadaver group retained a mean of 17.20, a mean difference of 5.45 points with a confidence interval of 8.24 down to 2.66. The statistical interaction between teaching condition and time was significant, reported as F of 2 and 76 equal to 15.38 with p below 0.001 and a partial eta squared of 0.29, meaning nearly a third of the variance in change over time was attributable to the instructional format. The authors suggest this weakening of delayed retrieval may reflect the retrieval demands of physical learning: manipulating a real body, orienting oneself around a table, and searching for structures in variable tissue all create rich, effortful memory-encoding conditions that passive virtual navigation may not replicate.

None of these results should be read as a verdict against virtual reality, and the researchers are careful to say so. The study involved a small sample of forty students, condition was confounded with intact class, and the three focal outcomes were designated for the integrated analysis after the data had been collected, all factors that make the findings exploratory rather than definitive. Ethics approval for the secondary use of anonymized routine assessment data was granted by the Hubei University of Medicine Ethics Review Committee in July 2025, and all participants gave written informed consent. Funding came from a teaching research project at the university’s Yaohu College, which the authors report played no role in the design, analysis or interpretation of the work.

Still, the pattern of results carries a clear message for medical educators weighing the considerable costs of maintaining dissection laboratories against the convenience and scalability of virtual reality. The digital classroom excels at delivering immediate, testable knowledge of anatomical structure, and it does so without the expense, ethical complexity and logistical burden of cadaveric programs. But the study’s evidence points to three specific costs that pure virtual instruction does not currently repay: a near doubling of force applied to real tissue on first contact, a nineteen-percentage-point drop in interpreting noncanonical clinical images, and a progressive loss of retained knowledge over four weeks. Each of these deficits maps onto a capability that matters in clinics and operating rooms, where bodies vary, tissue resists, and knowledge must be summoned months after the lecture.

The authors conclude that virtual reality may be most useful not as a replacement for physical anatomy learning but as a component within a competency-aligned blended curriculum, one that deliberately pairs immersive three-dimensional visualization with the haptic, variable and retrieval-demanding experiences that only real specimens provide. As medical schools worldwide expand their digital offerings, this study offers a concrete template for evaluation: measure not just what students can recognize immediately, but how hard they press, how flexibly they generalize, and how long they remember. By those fuller measures, the virtual body is a powerful teaching aid that has not yet learned to feel, to surprise, or to stick.

Subject of Research: Haptic and cognitive trade-offs of virtual reality versus cadaver-based anatomy education in first-year medical students

Article Title: Haptic and cognitive trade-offs of virtual reality–supported anatomy education: a retrospective multimethod cohort comparison

Article References: Yao, S., Liu, R., & He, X. (2026). Haptic and cognitive trade-offs of virtual reality–supported anatomy education: a retrospective multimethod cohort comparison. BMC Medical Education. https://doi.org/10.1186/s12909-026-10481-7

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10481-7

Keywords: virtual reality, anatomy education, medical education, cadaver-based learning, haptic transfer, knowledge retention, educational technology, cohort study, medical imaging, simulation training, cognitive transfer, Hubei University of Medicine